How to turn long videos into Shorts

What to expect from AI clipping

Clip finding uses the transcript, detected scenes, and prior analysis. It proposes ranked windows; it does not guarantee views. You should drop candidates that start mid-thought, repeat the same moment, or depend on a slide that is unreadable in 9:16. A prompt such as “customer questions” only helps if those questions are actually in the recording.

After you approve clips, generate captions, fix names, then export. Re-pack if you change the cut in Studio. For tool choice versus CapCut or Opus-style clippers, see the comparison. Feature detail is on features; quotas are on pricing. Step-by-step clipping guides: convert YouTube to Shorts, turn long videos into Shorts, AI long-to-short generator.

Rights and quality checks belong in every batch. Only use footage you own or have permission to edit and republish. Watch each export muted once to confirm on-screen text and framing, then with sound to confirm speech is clear. If a clip needs prior context from earlier in the long video, it is not ready for a cold scroll—trim to a self-contained idea or discard it.

Teams often split the work: one person generates candidates, another reviews captions and brand terms, then someone schedules posts. Keep a short log of which openings performed so the next batch improves. ShortMatic Ai speeds the queue; your review standards decide what the audience actually sees.